whatisgithub

What is reloops?

reloops-app/reloops — explained in plain English

Analysis updated 2026-05-18

35TypeScriptAudience · developerComplexity · 3/5LicenseSetup · moderate

In one sentence

A self-hosted digital asset management workspace for teams to store, review, and approve creative files, with AI agent access built in.

Mindmap

mindmap
  root((Reloops))
    What it does
      Stores creative assets
      Reviews and approves
      Tags with AI
    Tech stack
      TypeScript
    Use cases
      Team asset management
      Client review links
      AI agent access
    Audience
      Creative teams
    License
      AGPL 3.0

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Self-host a shared workspace for uploading, tagging, and reviewing creative assets.

USE CASE 2

Let clients approve or comment on shared media without creating an account.

USE CASE 3

Give AI agents API access to upload, tag, and manage assets alongside your team.

What is it built with?

TypeScript

How does it compare?

reloops-app/reloopskarminski/codevinciningsiii/clickdeck
Stars353535
LanguageTypeScriptTypeScriptTypeScript
Setup difficultymoderatemoderateeasy
Complexity3/53/52/5
Audiencedeveloperdevelopervibe coder

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

Self-hosted, requires following the local setup guide.

You can self-host and modify it freely, but if you offer it as a network service, you must share your source code changes.

So what is it?

Reloops is an open-source digital asset management workspace that teams can self-host. It is designed for creative work: storing, organizing, reviewing, and approving image, video, and other media files. The README positions it as an alternative to commercial tools like Frame.io, Brandfolder, Bynder, Dropbox Replay, and similar platforms. The core feature set covers the full lifecycle of a creative asset inside an organization. You can upload files, organize them into folders and collections, and search across tags, metadata, review status, file format, and version history from one interface. AI analysis runs on uploaded assets to generate descriptions and tags automatically, which means files become searchable without anyone having to manually catalog them. Review and approval are built into the same workspace rather than being a separate tool. Assets move through a visual workflow board with states like needs review and approved. External reviewers, such as clients, can leave comments and feedback on shared assets without needing to create an account in the full workspace. Version comparison lets you put two cuts of an asset side by side, with timestamped comments attached to each version. A notable design goal is letting AI agents and automation tools participate in the workspace alongside human team members. You can create API keys for agents from services like OpenAI, Claude, or Gemini, as well as automation platforms like Zapier and n8n. Those agents can then create projects, upload or fetch assets, leave comments, enrich metadata, and manage sharing, operating within the same permission system as human teammates. Sharing is controlled through links with expiration dates, download permissions, and comment permissions. The project is released under the AGPL 3.0 license and includes a setup guide for running it locally.

Copy-paste prompts

Prompt 1
Help me set up Reloops locally using its self-hosting guide.
Prompt 2
Show me how to create an API key for an AI agent to use inside Reloops.
Prompt 3
Explain how Reloops' review and approval workflow compares to Frame.io.

Frequently asked questions

What is reloops?

A self-hosted digital asset management workspace for teams to store, review, and approve creative files, with AI agent access built in.

What language is reloops written in?

Mainly TypeScript. The stack also includes TypeScript.

What license does reloops use?

You can self-host and modify it freely, but if you offer it as a network service, you must share your source code changes.

How hard is reloops to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is reloops for?

Mainly developer.

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